Real estate
390 servers, 2268 tools — a rough corpus-diversity category (see methodology), not a rigorous similarity match. 10 scored, 1 insufficient data, 2257 not yet tested — coverage here means the deep-tier probe, not the corpus-wide shallow score.
Ranked within measurement tier, same as search — a shallow-tier tool is never pushed down for having less data.
- biz-analyzeio.github.RightOnPar-LLC/meshmarketdeep35.0
Business Analyze — Analyze any business situation and get a structured recommendation back — the original api.meshtool.ai capability, now settled in MESH. Input: { context: string }. (2 MESH/call, a tool · reasoning)
- browser-agent-101io.github.RightOnPar-LLC/meshmarketdeepinsufficient data
Browser Agent 101 — Plain-language guide to using an AI browser agent — covers agent-to-person work (reading pages, clicking, searching), agent-to-agent work (calling marketplace tools, MESH credits), and how to get started from zero. Perfect for anyone new to agentic tools. (2 MESH/call, a tool · education)
- account_statuscom.tulugar/tulugarshallow100.0
REPORT-ONLY status check: returns whether the user's Tu Lugar account is connected and whether they can publish (needs a verified WhatsApp number). It does NOT and CANNOT start a connection. If the user asks to connect / authorize / log in / sign in, or wants to create a listing while not connected, call `connect_account` instead — that is the tool that opens the Approve prompt. Use account_status only when you purely want to know the current state. Never tell the user to merely visit the login page to authorize Claude — connecting is a one-time Approve, not a website login.
- add_contactio.github.dreamworkhq/dreamworkshallow100.0
Adds a recruiter or referrer contact to the account using the supplied contact details.
- add_favoritecom.uniaffitti.www/room-findershallow100.0
Save an approved room to the authenticated user’s favorites.
- add_jobsio.github.dreamworkhq/dreamworkshallow100.0
Adds a job to the account's private pipeline using title, company and optional description, URL, contact email and application method. For eligible accounts, a new job can also create and queue its application materials, using pack allowance. No application is submitted.
- add_keywordcom.appskyline/appskylineshallow100.0
Add a new tracked keyword to an Appskyline app after explicit confirmation. This modifies the tracked set and is non-idempotent: calling with the same term twice creates two keyword rows.
- affordabilityio.dxbdata/dxb-datashallow100.0
Given a budget in AED, list Dubai areas where the median sale price fits (largest you can afford first).
- agent-brainio.github.RightOnPar-LLC/meshmarketshallow100.0
Agent Brain — Reason over a question or task with your agent's own persistent memory in the loop: recalls up to 12 relevant memories from your agent's private scope, reasons with Claude, and writes up to 3 new memories back, so the agent improves with every call. Recall by meaning, not just keyword, when the estate's memory server is reachable (falls back to its own always-on store otherwise — never fails the call). Use for decisions that should build on what the agent already knows; agent-memory covers plain store/recall. Runs claude-haiku-4.5 — the response names the model that served the call; agent-brain-smart runs the identical contract on claude-sonnet-5. Input: {think: string}. Returns {answer, reasoning, confidence, memories_considered, used_memories, learned, model, engine}. (8 MESH/call, a tool · cognition)
- agent-brain-smartio.github.RightOnPar-LLC/meshmarketshallow100.0
Agent Brain Smart — The Smart tier of agent-brain: the identical contract and memory loop — recall up to 12 memories, reason, write up to 3 back — served by claude-sonnet-5 for deeper reasoning on decisions worth a bigger brain. The response names the model that served the call. agent-brain (8 MESH, claude-haiku-4.5) stays the fast default; pick this tier when the answer's quality matters more than the price gap. Input: {think: string}. Returns {answer, reasoning, confidence, memories_considered, used_memories, learned, model, engine}. (20 MESH/call, a tool · cognition)
- agent-memoryio.github.RightOnPar-LLC/meshmarketshallow100.0
Agent Memory — Persistent, scoped memory for your agent — store and recall by meaning. The primitive shallow builders lack. (2 MESH/call, a tool · memory)
- ai_searchuk.co.frankspace/frankspace-publicshallow100.0
Search FrankSpace workspaces with a plain-English query — the same AI parser that powers the app. Handles budgets, headcount, neighbourhoods, amenities, EPC ratings, and lease terms. Returns matching live UK listings.
- ai_visibility_checkio.github.pipeworx-io/ai-briefingshallow100.0
Probe one or more LLMs for what they know about a business / brand / product / topic and score visibility (0-100) per model. Default model is Workers AI Llama-3.3-70b (free); pass `_apiKey` to also probe Anthropic (BYO key — you pay Anthropic directly for those calls). Returns per-model {score, confidence, signals, raw_response} + a combined view. Useful for AI-marketing audits, pre-launch brand checks, competitive monitoring.
- ai_visibility_checkio.github.pipeworx-io/attomshallow100.0
Probe one or more LLMs for what they know about a business / brand / product / topic and score visibility (0-100) per model. Default model is Workers AI Llama-3.3-70b (free); pass `_apiKey` to also probe Anthropic (BYO key — you pay Anthropic directly for those calls). Returns per-model {score, confidence, signals, raw_response} + a combined view. Useful for AI-marketing audits, pre-launch brand checks, competitive monitoring.
- ai_visibility_checkio.github.pipeworx-io/censusshallow100.0
Probe one or more LLMs for what they know about a business / brand / product / topic and score visibility (0-100) per model. Default model is Workers AI Llama-3.3-70b (free); pass `_apiKey` to also probe Anthropic (BYO key — you pay Anthropic directly for those calls). Returns per-model {score, confidence, signals, raw_response} + a combined view. Useful for AI-marketing audits, pre-launch brand checks, competitive monitoring.
- ai_visibility_checkio.github.pipeworx-io/currentsshallow100.0
Probe one or more LLMs for what they know about a business / brand / product / topic and score visibility (0-100) per model. Default model is Workers AI Llama-3.3-70b (free); pass `_apiKey` to also probe Anthropic (BYO key — you pay Anthropic directly for those calls). Returns per-model {score, confidence, signals, raw_response} + a combined view. Useful for AI-marketing audits, pre-launch brand checks, competitive monitoring.
- ai_visibility_checkio.github.pipeworx-io/housing-intelshallow100.0
Probe one or more LLMs for what they know about a business / brand / product / topic and score visibility (0-100) per model. Default model is Workers AI Llama-3.3-70b (free); pass `_apiKey` to also probe Anthropic (BYO key — you pay Anthropic directly for those calls). Returns per-model {score, confidence, signals, raw_response} + a combined view. Useful for AI-marketing audits, pre-launch brand checks, competitive monitoring.
- ai_visibility_checkio.github.pipeworx-io/hudshallow100.0
Probe one or more LLMs for what they know about a business / brand / product / topic and score visibility (0-100) per model. Default model is Workers AI Llama-3.3-70b (free); pass `_apiKey` to also probe Anthropic (BYO key — you pay Anthropic directly for those calls). Returns per-model {score, confidence, signals, raw_response} + a combined view. Useful for AI-marketing audits, pre-launch brand checks, competitive monitoring.
- ai_visibility_checkio.github.pipeworx-io/imgflipshallow100.0
Probe one or more LLMs for what they know about a business / brand / product / topic and score visibility (0-100) per model. Default model is Workers AI Llama-3.3-70b (free); pass `_apiKey` to also probe Anthropic (BYO key — you pay Anthropic directly for those calls). Returns per-model {score, confidence, signals, raw_response} + a combined view. Useful for AI-marketing audits, pre-launch brand checks, competitive monitoring.
- ai_visibility_checkio.github.pipeworx-io/noaa-tidesshallow100.0
Probe one or more LLMs for what they know about a business / brand / product / topic and score visibility (0-100) per model. Default model is Workers AI Llama-3.3-70b (free); pass `_apiKey` to also probe Anthropic (BYO key — you pay Anthropic directly for those calls). Returns per-model {score, confidence, signals, raw_response} + a combined view. Useful for AI-marketing audits, pre-launch brand checks, competitive monitoring.
- ai_visibility_checkio.github.pipeworx-io/property-recordsshallow100.0
Probe one or more LLMs for what they know about a business / brand / product / topic and score visibility (0-100) per model. Default model is Workers AI Llama-3.3-70b (free); pass `_apiKey` to also probe Anthropic (BYO key — you pay Anthropic directly for those calls). Returns per-model {score, confidence, signals, raw_response} + a combined view. Useful for AI-marketing audits, pre-launch brand checks, competitive monitoring.
- ai_visibility_checkio.github.pipeworx-io/realestateshallow100.0
Probe one or more LLMs for what they know about a business / brand / product / topic and score visibility (0-100) per model. Default model is Workers AI Llama-3.3-70b (free); pass `_apiKey` to also probe Anthropic (BYO key — you pay Anthropic directly for those calls). Returns per-model {score, confidence, signals, raw_response} + a combined view. Useful for AI-marketing audits, pre-launch brand checks, competitive monitoring.
- ai_visibility_checkio.github.pipeworx-io/realestateapishallow100.0
Probe one or more LLMs for what they know about a business / brand / product / topic and score visibility (0-100) per model. Default model is Workers AI Llama-3.3-70b (free); pass `_apiKey` to also probe Anthropic (BYO key — you pay Anthropic directly for those calls). Returns per-model {score, confidence, signals, raw_response} + a combined view. Useful for AI-marketing audits, pre-launch brand checks, competitive monitoring.
- ai_visibility_checkio.github.pipeworx-io/rentcastshallow100.0
Probe one or more LLMs for what they know about a business / brand / product / topic and score visibility (0-100) per model. Default model is Workers AI Llama-3.3-70b (free); pass `_apiKey` to also probe Anthropic (BYO key — you pay Anthropic directly for those calls). Returns per-model {score, confidence, signals, raw_response} + a combined view. Useful for AI-marketing audits, pre-launch brand checks, competitive monitoring.
- ai_visibility_checkio.github.pipeworx-io/tidesshallow100.0
Probe one or more LLMs for what they know about a business / brand / product / topic and score visibility (0-100) per model. Default model is Workers AI Llama-3.3-70b (free); pass `_apiKey` to also probe Anthropic (BYO key — you pay Anthropic directly for those calls). Returns per-model {score, confidence, signals, raw_response} + a combined view. Useful for AI-marketing audits, pre-launch brand checks, competitive monitoring.
- ai_visibility_checkio.github.pipeworx-io/timeapi-ioshallow100.0
Probe one or more LLMs for what they know about a business / brand / product / topic and score visibility (0-100) per model. Default model is Workers AI Llama-3.3-70b (free); pass `_apiKey` to also probe Anthropic (BYO key — you pay Anthropic directly for those calls). Returns per-model {score, confidence, signals, raw_response} + a combined view. Useful for AI-marketing audits, pre-launch brand checks, competitive monitoring.
- analyze_application_readinesscom.aidevboard/jobsshallow100.0
Analyze candidate-verified evidence against one active job for $0 without requiring identity. The transient response reports covered and unsupported public job signals without an acceptance probability, does not persist candidate evidence, does not submit an application, and rejects hidden screening-model instructions.
- analyze_billcom.papayapay.consumer-production.mcp-agent/bill-paymentshallow100.0
Read a bill from the user's description and create it for payment. This is the first step. Capture every address and identifier on the bill (remit-to address, account/invoice number, any code or pin) - missing details can delay or fail the payment. The remit-to address (where payment is sent) is especially important: it is what identifies the correct biller, and a wrong or missing one can match the bill to the wrong biller and cause a failed or delayed payment. Always include it. If the bill does not show a remit-to address, research the biller's official remit-to / payment address online and use that rather than omitting it. For the same reason, capture the bill's online-payment URL in payUrl and any payment phone number in otherInfo whenever the bill shows them - these strongly identify the correct biller. Always secure a user identifier so the payment can be applied to the right account or charge: capture the account/customer number in the account field, and any invoice, ticket, or reference number in otherInfo - capture all that the bill shows, since some billers need the account number plus another identifier. If the bill shows none, ask the user for one rather than proceeding without it. Before calling, ask the user how much they want to pay (the full balance amountDue, or a partial amount), then pass it as amount_to_pay and quote what they said in user_amount_statement - both are required (never invent the amount). If the payment carries a fee, the result includes a `fees` list - show any returned fee to the user before continuing. The result also includes a `payment_link`: give this link to the user as-is so they can enter their card on the secure form (the only way to set a payment method). If the user already exists from a prior bill, pass their user_id and auth_token to reuse the account. Args: bill_description: structured bill details, including amountDue, amount_to_pay and user_amount_statement Returns: bill/user identifiers, tokens, provider, amount due, the chosen amount_to_pay, a payment_link to the secure card form, and any user-facing fees
- analyze_booking_threat_riskio.github.lilo-property/mcp-servershallow100.0
Analyze a vacation rental booking or guest interaction for potential threats and risks. Returns risk assessment level, identified concerns, and recommended actions for the host. Pass booking_id, message_content, and/or guest_profile for analysis.
- analyze_brrrrio.dealscanner/dealscannershallow100.0
Run a BRRRR (buy-rehab-rent-refinance-repeat) analysis. Provide either `address` to analyze an existing listing, or the raw inputs (`purchase_price`, `rehab_cost`, `arv`, `monthly_rent`) for an ad-hoc deal.
- analyze_github_reposcom.themineworks/the-mine-worksshallow100.0
Deep metadata for public GitHub repositories: stars, forks, language breakdown, topics, license, README content, contributor count, latest release, and commit recency. Use to see what a company or project is actually building. No GitHub token required.
- analyze_guest_communication_riskio.github.lilo-property/mcp-servershallow100.0
Analyze guest messages at a vacation rental for concerning patterns. Returns risk assessment, evidence documentation, and response guidance for hosts. Alias for detect_guest_communication_risk.
- analyze_guest_interaction_riskio.github.lilo-property/mcp-servershallow100.0
Analyze a guest interaction at a vacation rental for potential risks. Returns risk assessment and recommended actions. Alias for analyze_booking_threat_risk. Pass booking_id, message_content, and/or guest_profile.
- analyze_leaselu.chathome/chathomeshallow100.0
Analyze a caller-provided Luxembourg residential lease PDF or raw text, persist the full user-scoped analysis, and return a compact risk summary. Do not provide payment-card data, government identifiers, health data, passwords, API keys, or authentication codes.
- analyze_pricesio.github.jasp-nerd/marktplaats-mcpshallow100.0
Price statistics (min, quartiles, median, max, mean) over the most relevant asking prices for a search, plus the cheapest matches. Free, bidding-only and reserved ads are excluded and outliers beyond 1.5x the interquartile range are trimmed. Most reliable with a subcategory plus attributes (e.g. subcategory 'Mobiele telefoons | Apple iPhone', attributes {'Model': 'iPhone 15', 'Opslagcapaciteit': '128 GB'}) instead of free text, which drags in accessories.
- annonce_locationfr.synergieloc/immobiliershallow100.0
QUAND un bien vacant doit être mis en location et qu'il faut rédiger l'annonce. Rédige un BROUILLON d'annonce de location (texte_brut + html). IMPORTANT : aucune publication sur synergieloc.fr via MCP — la mise en ligne est réservée à l'opérateur Synergieloc (validation manuelle uniquement). publier=true est refusé. REST: POST /api/v1/gerance/annonce-location.
- announce_launchio.github.pendurov/betafinds-mcpshallow100.0
Announce your startup's official launch: the stage becomes LAUNCHED, a LAUNCH update is published, and waitlist members are notified (once). A working product link is required (url or an already saved store link).
- answer_trial_canaryai.popdot/popdot-mcpshallow100.0
Answer the short safety questions for a trial opened by try_domain, then go live. Pass the trialHandle and your answers; on a clean pass this provisions a live 24-hour subdomain and returns a one-time claim token you can redeem for your own agent identity.
- applications.complete_document_uploadclub.elron/public-rentalsshallow100.0
Verify the uploaded object, content signature, session ownership, expiry, and exact application version before creating the protected document record.
- applications.create_document_uploadclub.elron/public-rentalsshallow100.0
Create a 15-minute, exact-size and exact-content-type signed upload form for one email-verified application at its exact current version.
- applications.get_statusclub.elron/public-rentalsshallow100.0
Read the privacy-minimized status and next actions for one scoped application session token.
- applications.startclub.elron/public-rentalsshallow100.0
Create or reuse a duplicate-safe applicant workspace for one published rental. Requires explicit current privacy consent and an idempotency key. Email verification is sent to the applicant; the tool never returns the verification URL.
- applications.submitclub.elron/public-rentalsshallow100.0
Submit one complete email-verified application for review using its exact version, explicit current credit-check and truth-confirmation consent, and a durable idempotency key.
- applications.updateclub.elron/public-rentalsshallow100.0
Update bounded applicant, tenancy, and billing data for one email-verified session using its exact current version and a durable idempotency key.
- applications.upload_documentclub.elron/public-rentalsshallow100.0
Upload one bounded PDF, JPEG, or PNG identity or company-registry document to an email-verified application using its exact version and a durable idempotency key.
- applyio.github.dreamworkhq/dreamworkshallow100.0
Submits one application to an employer under the account holder's name using the saved materials at expectedRevision. Submission requires existing materials and plan allowance and cannot be recalled. A confirmation hold returns the destination, material summary and a token bound to identical arguments; the reviewed revision is enforced.
- apply_to_jobcom.aidevboard/jobsshallow100.0
Submit only the exact, visible compiled artifact after the email-verified human principal approves its hash. Requires the single-use approval authorization, an API key, and principal_authorized=true. Candidates and agents are never charged.
- approve_compiled_applicationcom.aidevboard/jobsshallow100.0
Create a short-lived, single-use authorization for one email-verified candidate, one exact compiled artifact hash, and one unchanged active job. Requires principal_authorized=true, costs the candidate $0, and does not submit an application.
- archive_compareio.github.pipeworx-io/currentsshallow100.0
What changed on a web page between two dates? Resolves the archived capture nearest each date (Internet Archive Wayback Machine, Common Crawl, Arquivo.pt), extracts the readable text of both, and returns a text-level diff: the segments removed and added, a similarity score, and both capture timestamps with their gaps from the requested dates. It diffs readable text, not markup, so a restyled page with the same words reads changed:false. Identical captures answer changed:false with the reason (same capture, identical content digest, or identical text), never an empty diff. A date with no capture within max_gap_days (default 30) answers status "no_capture", naming which side is missing and the nearest captures to it. Typical uses: how a privacy policy, terms of service, pricing or product page changed; whether a statement was on a page at a given time.
- archive_compareio.github.pipeworx-io/ai-briefingshallow100.0
What changed on a web page between two dates? Resolves the archived capture nearest each date (Internet Archive Wayback Machine, Common Crawl, Arquivo.pt), extracts the readable text of both, and returns a text-level diff: the segments removed and added, a similarity score, and both capture timestamps with their gaps from the requested dates. It diffs readable text, not markup, so a restyled page with the same words reads changed:false. Identical captures answer changed:false with the reason (same capture, identical content digest, or identical text), never an empty diff. A date with no capture within max_gap_days (default 30) answers status "no_capture", naming which side is missing and the nearest captures to it. Typical uses: how a privacy policy, terms of service, pricing or product page changed; whether a statement was on a page at a given time.
Showing 50 of 2268 tools, ranked within a sample — see methodology for how ranking works.